Engineering Manager(Search & Match)

Position Overview:
BOLD is seeking a Technical specialist, who will lead our team of innovators and technologists toward creating next-level solutions that improve the way our business is run. Your deep knowledge of design, analytics, development, coding, testing and application programming will help teams raise their game, meeting standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embrace leading-edge technologies and methodologies inspires your team to follow suit.
Company Overview:

BOLD is an established and fast-growing product company that transforms work lives.Since 2005,weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and dobetter. A career at BOLD promises great challenges, opportunities, culture and the environment. Withour headquarters in Puerto Rico and offices in San Francisco and India, were a global organization ona path to change the career industry

Key Responsibilities

Team Leadership

• Manage and mentor a development team responsible for building and scaling search and match solutions.
• Foster a culture of collaboration, continuous learning, and technical excellence.
• Drive recruitment efforts to grow the team with the right talent.

Search & Match Optimization

• Design and implement advanced search capabilities, including text-based search, deep search, semantic search, intent resolution, ranking, boosting, and relevance tuning.
• Ensure system performance at scale with advanced indexing strategies, sharding, and caching mechanisms.
• Collaborate with product teams to align search capabilities with business objectives, improving ranking, sorting, and personalization..

Data-Driven Decision Making in Search and Match

• Drive a data-first culture by leveraging advanced methodologies to improve search and match capabilities in the jobs domain.
• Incorporate user behavior signals (e.g., click-through rates, job applications) and feedback loops to continuously optimize relevance and ranking.
• Design and execute A/B tests, multi-armed bandit experiments, and statistical models to assess the impact of search algorithm changes.
• Develop and refine personalization techniques, including behavioral matching, skill mapping, and semantic search for tailored job recommendations.
• Collaborate with data science teams to implement advanced resume parsing and predictive modeling
• Use geospatial and temporal analytics to ensure search results are contextually relevant and actionable for candidates.
• Prioritize bias mitigation and fairness in search recommendations to create an inclusive platform for diverse candidates.

Architecture & Scalability

• Provide architectural guidance for building scalable, secure, and efficient applications.
• Optimize system performance and reliability through best practices in caching, indexing, and database design.

Agile Project Management

• Oversee project delivery using Agile methodologies, ensuring timely completion of milestones and delivering high-quality output.
• Facilitate Agile ceremonies, including Sprint Planning, Standups, and Retrospectives.

System Health & Operational Excellence

• Ensure application health through monitoring, incident management, and proactive problem resolution.
• Drive compliance with enterprise standards for security and scalability

Skills

• Strong expertise in search technologies (e.g., Elasticsearch, Solr) and search optimization (boosting, ranking, relevance tuning).
• Proficiency in backend development using ASP.NET Core, C#, SQL, and microservices architecture.
• Experience with message brokers (Kafka, RabbitMQ) and caching tools (Redis).
• Knowledge of cloud platforms (Azure, AWS) and CI/CD pipelines.
• Familiarity with database performance tuning and indexing for SQL and NoSQL databases.
• Strong grasp of data structures, algorithms, and design patterns.

Nice-to-Have Skills:

• Exposure to machine learning or NLP for advanced search features.
• Familiarity with Python for automation or ML integration.
• Experience with observability tools for system health monitoring.

Leadership & Collaboration:

• Proven ability to mentor and develop high-performing teams.
• Strong problem-solving and decision-making skills.
• Excellent communication skills for cross-functional collaboration